Title :
Automated analysis and detection of cracks in underground scanned pipes
Author :
Fieguth, Paul W. ; Sinha, Sunil K.
Author_Institution :
Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
Abstract :
Closed circuit television (CCTV) surveys are used widely in North America to assess the structural integrity of underground pipes. The video images are examined visually and classified into grades according to degrees of damage. The human eye is extremely effective at recognition and classification, but it is not suitable for assessing pipe defects in thousands of miles of pipeline images due to fatigue, subjectivity and cost. This paper presents ongoing research into the automatic assessment of the structural condition of underground pipes for the purpose of preventive maintenance by municipalities
Keywords :
civil engineering computing; closed circuit television; crack detection; feature extraction; image classification; maintenance engineering; video signal processing; CCTV; closed circuit television; crack analysis; crack detection; feature extraction; image classification; image recognition; pipe defects; preventive maintenance; underground pipe structural integrity; underground scanned pipes; video images; Cameras; Computer vision; Image analysis; Image edge detection; Inspection; Investments; Pipelines; Radar detection; System analysis and design; TV;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.819622
